计算机应用研究2011，Vol.28Issue(11)：4115-4117,3.DOI:10.3969/j.issn.1001-3695.2011.11.030
初始化簇类中心和重构标度函数的文本聚类
Text clustering method based on centers of initial cluster and anew rescaling function
摘要
Abstract
According to the text set center and initial cluster center,in the text clustering process, this paper chose a set of discriminative directions to construct the IMIC coordinate, and constructed each axis to re-scaling function in order to improve the effectiveness of cluster policy, according to the distribution characteristics of the initial clusters. IMIC iterative algorithm ways converged to the final solution. The time complexity of IMIC remained the same as K-means by using a K-means-like iteration strategy. Experimental results show that IMIC algorithm has better clustering quality.关键词
迭代收敛/文本/聚类Key words
iteration convergence/ text/ clustering分类
信息技术与安全科学引用本文复制引用
刘金岭,冯万利,张亚红..初始化簇类中心和重构标度函数的文本聚类[J].计算机应用研究,2011,28(11):4115-4117,3.基金项目
淮安科技计划资助项目(HAG09061) （HAG09061）
淮阴工学院重点基金资助项目(HGA0907) （HGA0907）
